Aside

Download a PDF of this CV

Contact

Programming

R
SQL
Python
Javascript
Julia

Languages

Spanish
Greek

Disclaimer

Made with the R package pagedown.

References are available upon request.

Last updated on 2021-02-22.

Main

Andrew G. Argeros

Dedicated and driven current undergraduate student with a passion for statistical, analytical, and data driven approaches to modern issues. Enjoys problem solving through data driven thinking and computational methods.

Skilled in applications of R, SQL, and Python. Avid presenter at national data science competitions. Looking to gain experience in the corporate sector and to further skills in machine learning at scale.

Education

B.S. Computational Data Science; B.B.A. Business Analytics; Minor in Economics

Hamline University

St. Paul, MN

2022 (exp.) - 2018

  • Advisors: Dr. Stacie Bosley and Dr. Andy Rundquist
  • President’s Scholarship Recipient & Heim Scholar
  • NCAA Varsity Athlete: Men’s Tennis

High School Dipolma

Coon Rapids High School

Coon Rapids, MN

2018 - 2014

  • Graduated with Honors
  • Two time AP Scholar with Distinction

Research Experience

Research Assistant to the Dean

Hamline University School of Business

St. Paul, MN

Current - 2020

  • Hired in 2020 for ad hoc data science needs in the Hamline Business School. Responsibilites include working closely with Dean McCarthy, Support Staff, and Faculty to effectively manage and deploy analyics and data science projects.
  • Student Analytics Director of DAC @ Hamline high school data analytics competition.

Research Assistant to Dr. Eric Hammer

Hamline University School of Business

St. Paul, MN

2020 - 2019

  • Analyzed modifications to inputs of Hawk/Dove game theory model through use of agent based simulation modeling.
  • Planned collaboration on a project studying cultures’ proverbs and “pop-culture” on voting behavior. Based on the work of Michalopoulos and Xue (2017) on the effects of folklore on rational voting theory.

Industry Experience

Data Science Intern

ExceleraRx LLC - Shields Health Solutions

Minneapolis, MN

Current - 2020

  • Currently directing and implementing at-scale analytics and production grade machine learning systems affecting major health systems, pharmaceutical manufacturers, payers, and pharmacies in the realm of specialty pharmacy.
  • Built machine learning systems to identify patients at risk for inadherence in subpopulations of metastatic breast cancer and hepatitis C patients. Currently in production at several national health systems.
  • Built a production string matching system using Zero Shot Natural Language Processing to match raw prescription text to analyzable data using serverless computing systems.

Consultant Data Scientist

Economic Development Company of Lancaster County

Lancaster, PA

2021 - 2020

  • Used advanced Natural Languange Processing (NLP) and Computer Vision (CV) methods to analyze real-estate trends within the county. Lead a research project to be presented to Lancaster developers and realtors.

Consultant Data Scientist

Minnesota Hospital Association

St. Paul, MN

2020 - 2019

  • Analyzed workforce data on MHA’s members for the assocation’s annual workforce review.

Planning Department Intern

Northwestern Mutual

Minneapolis, MN

2020 - 2019

  • Worked on a team of six to analyze and manage the financial portfolios of more than two thousand clients across the country. Oversaw a client’s investment process from onboarding through investment and rebalancing.
  • Built a system using R and Shiny to effectively manage the department’s invoicing system.






Data Science Projects

Optimizing New York City’s Housing

BAC @ MC 2020

New York City, NY

2020

  • Used multiple geospatial analysis (GIS) and dimension reduction techniques to find an optimization for affordable homeownership in the city. Developed a system to increase citywide homeownership by over 250% of status quo.
  • Conference cancelled due to COVID-19 Pandemic.

MLB Team Success: Offense vs. Defense

The Federal Reserve Bank of Minneapolis

Minneapolis, MN

2020

  • Analyzed the importence of different statistics on predicting Win/Loss percentage. Coauthors Ryan Brauer and Jake Dujmovic.
  • First Prize Winner at Minnesota Economic Association General Conference

Forecasting Soybean Futures: Prophet & VAR

MinneMUDAC 2019

Eden Prairie, MN

2019

  • Accurately forecasted the price of three target soybean futures securities. Model comprised of an ensemble of Facebook Prophet and Vector Autoregression. Model Accuracy ~99.5%. Coauthors Lindsey Hawk and Lindsay Steiger.
  • 2nd Place Overall & Analytical Acumen Award Winner
  • Invited to present to industry leaders at FASTCON 2020

The Future of Renewable Energy in New York City

BAC @ MC 2019

New York City, NY

2019

  • Optimized and analyzed a solution to convert half of New York state’s energy needs to renewable energy. Coauthors Shanoah Harren, Lindsay Steiger, and Leah Wenner.
  • 4th Place Overall

Publications

Predicting Inactivity in Oncology Patients: Machine Learning Classification in The Excelera Network

White Paper

N/A

2020